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ClaimLinker is a Web service and API that links arbitrary text to fact-checked claims, offering a novel kind of semantic annotation of unstructured content. The system is based on a scalable, fully unsupervised and modular approach that does not require training or tuning and which can serve high quality results at real time.
This Java program uses Stanford CoreNLP library to perform sentiment analysis on user input. The program then prints the sentiment value using the SentimentCoreAnnotations class. It's a good starting point for building more complex natural language processing applications.
🔍 ArticleAnalyzer allows you to scrape articles from web pages, clean the content, and analyze it. It leverages the power of natural language processing (NLP) and machine learning to extract valuable insights from the articles. You can identify relevant information, perform part-of-speech tagging, and even analyze if your interests are mentioned